Interoperability Operations Analyst

Zushealth; Boston (MA); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Wellness benefits

401k with match

Unlimited PTO

Equity compensation

Job summary

Zushealth seeks an Interoperability Operations Analyst to build metrics, automation, and tooling for comprehensive clinical data across the network. You will dig into coverage patterns, surface insights, and partner with support and product teams to close gaps using SQL and Python, with AI tools to accelerate workflows.

You will sit at the intersection of data, operations, and product, shaping how the network grows and how customers are served.

Qualifications

• SQL fluency and ability to write queries to surface insights.
• Comfort with Python and interest in AI-assisted workflows.
• Analytical thinker who can form hypotheses from ambiguous data.
• Ability to translate findings into clear narratives for customers or executives.
• Interest in healthcare data formats (FHIR/HL7/C-CDA) is a plus.

Responsibilities

• Build and maintain metrics and dashboards tracking clinical data coverage by geography, network, data type, and customer.
• Identify gaps, investigate root causes, and communicate findings to stakeholders.
• Develop automation and tooling to surface insights faster and reduce manual analysis.
• Collaborate with engineering and product to ensure signals are usable and actionable.
• Translate operational data into product requirements and UX improvements.

Skills

SQL fluency

Automation instinct

Analytical curiosity

Clear communicator

Healthcare data interest

Tools

Looker

Metabase

Tableau

Job description

What we're looking for:

Every customer on the Zus network should have access to the most comprehensive clinical data possible and should understand exactly what they have. As Interoperability Operations Analyst, you'll build the metrics, intelligence, and tooling that make that possible. You'll dig into where coverage is strong and where it's thin, surface the reasons why, and partner with support and solutions teams to close the gaps. When the right fix is a query, you'll write it. When it's an automated workflow, you'll build it.

This is a role for someone who is equally comfortable in a SQL editor and a Python script, gets genuinely curious about unexplained patterns in data, and is excited about using AI tools to work faster and smarter. You'll sit at the intersection of data, operations, and product. Your insights will shape how the network grows and how we serve our customers.

Coverage Intelligence

• Build and maintain the metrics and dashboards that track clinical data coverage across the Zus network — by geography, network, data type, and customer
• Identify coverage gaps and anomalies, investigate root causes, and communicate findings clearly to customers and internal stakeholders
• Deliver the regular coverage intelligence that helps every customer understand the depth and breadth of their data — and what's driving any gaps

Operations Partnership

• Work closely with support and solutions teams to translate coverage findings into operational actions — escalations, network outreach, configuration changes
• Develop and maintain playbooks for recurring coverage issues, turning one‑off investigations into repeatable processes
• Contribute to onboarding quality by flagging patterns in new participant data that suggest connectivity or configuration problems

Tooling & Automation

• Build internal tools, scripts, and automated workflows that reduce manual analysis and surface insights faster
• Experiment with AI tools (including Claude) and BI platforms to accelerate how the team operates
• Partner with engineering and product to ensure the systems we rely on generate the signals we need

Product Feedback Loop

• Translate operational data into product requirements — if a coverage gap is systematic, you'll articulate why it's a product problem and what solving it would require
• Partner with UX and engineering to shape internal and customer‑facing experiences that make coverage intelligence intuitive and actionable

Qualifications

• SQL fluency: You write queries naturally and reach for them first when you have a question about data. Experience with BI tools (Looker, Metabase, Tableau, etc.) is a plus
• Automation instinct: You don't accept manual work as permanent. You're comfortable in Python and curious about AI‑assisted workflows — you'd rather build a system than repeat a task
• Analytical curiosity: You notice when numbers don't add up and you follow the thread. You're comfortable sitting with ambiguous data and forming hypotheses
• Clear communicator: You can translate a coverage analysis into a crisp, jargon‑free narrative for a customer or an executive
• Healthcare interest: Prior exposure to clinical data formats (FHIR, HL7, C-CDA) or the provider/EMR ecosystem is a plus, but a genuine interest in how healthcare data flows is what matters most

Benefits

• Competitive compensation that reflects the value you bring to the team— a combination of cash and equity
• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO
• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)

Data coverage is one of the most tangible levers for customer value at Zus and right now, the infrastructure for understanding and improving it is still being built. You'll have real ownership over that build: the metrics, the tooling, and the feedback loops that help the network get better over time. The work compounds.

Please note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences.